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eBook Quality Aspects in Spatial Data Mining download

by Alfred Stein,Wenzhong Shi,Wietske Bijker

eBook Quality Aspects in Spatial Data Mining download ISBN: 1420069268
Author: Alfred Stein,Wenzhong Shi,Wietske Bijker
Publisher: CRC Press; 1 edition (November 21, 2008)
Language: English
Pages: 374
ePub: 1874 kb
Fb2: 1629 kb
Rating: 4.5
Other formats: docx mobi lit azw
Category: Engineering
Subcategory: Engineering

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FREE shipping on qualifying offers. Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality Substantial progress has been made toward developing effective techniques for spatial information processing in recent years.

Quality Aspects in Spatial Data Mining. Alfred Stein, Wenzhong Shi, Wietske Bijker. Скачать (pdf, . 8 Mb).

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Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality. Alfred Stein, Wenzhong Shi, Wietske Bijker show more. Substantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. The book advises the use of granular computing as a means of circumventing spatial complexities. This counter-application to traditional computing allows for the calculation of imprecise probabilities - the kind of information that the spatial information systems community wrestles with much of the time.

Home . Details for: Quality aspects in spatial data mining. Geographic information systems Spatial analysis (Statistics)Genre/Form: Electronic books

Home . Normal view MARC view ISBD view. Contributor(s): Stein, Alfred Shi, John Bijker, Wietske, 1965-. Material type: BookPublisher: Boca Raton, FL : Chapman & Hall/CRC, 2008Description: 374 . SBN: 9781420069273 (ebook : PDF). Subject(s): Geographic information systems Spatial analysis (Statistics)Genre/Form: Electronic books. Additional physical formats: No titleOnline resources: Distributed by publisher.

Alfred Stein, Wenzhong Shi, Wietske Bijker. What Communicates Quality to the Spatial Data Consumer? Judging and Visualizing the Quality of Spatio-Temporal Data on the Kakamega-Nandi Forest Area in West Kenya. A Study on the Impact of Scale-Dependent Factors on the Classification of Landcover Maps. We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Finding books BookSee BookSee - Download books for free. 8 Mb. Spatial Data Quality. Wenzhong Shi, Peter Fisher, Michael F. Goodchild.

Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data Quality

Substantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often imprecise, allowing for much interpretation of abstract figures and data. Quality Aspects in Spatial Data Mining introduces practical and theoretical solutions for making sense of the often chaotic and overwhelming amount of concrete data available to researchers.

In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover such essential areas as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter debuts with an editorial preview of each topic from a conceptual, applied, and methodological point of view, making it easier for researchers to judge which information is most beneficial to their work.

Chapters Evolve From Error Propagation and Spatial Statistics to Address Relevant Applications

The book advises the use of granular computing as a means of circumventing spatial complexities. This counter-application to traditional computing allows for the calculation of imprecise probabilities – the kind of information that the spatial information systems community wrestles with much of the time.

Under the editorial guidance of internationally respected geoinformatics experts, this indispensable volume addresses quality aspects in the entire spatial data mining process, from data acquisition to end user. It also alleviates what is often field researchers’ most daunting task by organizing the wealth of concrete spatial data available into one convenient source, thereby advancing the frontiers of spatial information systems.